Guest:

Topics:

Share your story and how you ended here doing confidential AI at Google?
What problem does confidential compute + AI solve and for what clients?
What are some specific real-world applications or use cases where you see the combination of AI and confidential computing making the most significant impact?
What about AI in confidential vs AI on prem? Should those people just do on-prem AI instead?
Which parts of the AI lifecycle need to be run in Confidential AI: Training? Data curation? Operational workloads?
What are the performance (and thus cost) implications of running AI workloads in a confidential computing environment?
Are there new risks that arise out of confidential AI?

Resources:

Recruiting for Careers in Laboratory Medicine